20230903172232
This model is a fine-tuned version of bert-large-cased on the super_glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.5325
- Accuracy: 0.6552
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 11
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 80.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 340 | 0.4929 | 0.5 |
0.5083 | 2.0 | 680 | 0.4935 | 0.5 |
0.5024 | 3.0 | 1020 | 0.4979 | 0.5 |
0.5024 | 4.0 | 1360 | 0.4791 | 0.5 |
0.4909 | 5.0 | 1700 | 0.4873 | 0.5470 |
0.4734 | 6.0 | 2040 | 0.4883 | 0.5345 |
0.4734 | 7.0 | 2380 | 0.4729 | 0.5502 |
0.4616 | 8.0 | 2720 | 0.4693 | 0.4922 |
0.446 | 9.0 | 3060 | 0.4777 | 0.5549 |
0.446 | 10.0 | 3400 | 0.5197 | 0.6348 |
0.444 | 11.0 | 3740 | 0.4987 | 0.6207 |
0.4366 | 12.0 | 4080 | 0.4764 | 0.5846 |
0.4366 | 13.0 | 4420 | 0.4807 | 0.5705 |
0.4257 | 14.0 | 4760 | 0.5061 | 0.6332 |
0.4205 | 15.0 | 5100 | 0.4879 | 0.5204 |
0.4205 | 16.0 | 5440 | 0.5076 | 0.6301 |
0.419 | 17.0 | 5780 | 0.4885 | 0.5909 |
0.4103 | 18.0 | 6120 | 0.5273 | 0.6583 |
0.4103 | 19.0 | 6460 | 0.4833 | 0.5423 |
0.4107 | 20.0 | 6800 | 0.5060 | 0.5784 |
0.4015 | 21.0 | 7140 | 0.5064 | 0.6489 |
0.4015 | 22.0 | 7480 | 0.4873 | 0.5298 |
0.4032 | 23.0 | 7820 | 0.5016 | 0.6458 |
0.3949 | 24.0 | 8160 | 0.4993 | 0.6301 |
0.3961 | 25.0 | 8500 | 0.4975 | 0.6113 |
0.3961 | 26.0 | 8840 | 0.4924 | 0.5674 |
0.3917 | 27.0 | 9180 | 0.5187 | 0.6708 |
0.3894 | 28.0 | 9520 | 0.4951 | 0.5909 |
0.3894 | 29.0 | 9860 | 0.5029 | 0.6113 |
0.3867 | 30.0 | 10200 | 0.5276 | 0.6677 |
0.3842 | 31.0 | 10540 | 0.5023 | 0.6285 |
0.3842 | 32.0 | 10880 | 0.5175 | 0.6599 |
0.3845 | 33.0 | 11220 | 0.5094 | 0.6348 |
0.3798 | 34.0 | 11560 | 0.5120 | 0.6411 |
0.3798 | 35.0 | 11900 | 0.5237 | 0.6646 |
0.3799 | 36.0 | 12240 | 0.5030 | 0.5737 |
0.3807 | 37.0 | 12580 | 0.5234 | 0.6520 |
0.3807 | 38.0 | 12920 | 0.5183 | 0.6536 |
0.373 | 39.0 | 13260 | 0.5078 | 0.6034 |
0.375 | 40.0 | 13600 | 0.5172 | 0.6536 |
0.375 | 41.0 | 13940 | 0.5164 | 0.6505 |
0.3738 | 42.0 | 14280 | 0.5180 | 0.6332 |
0.369 | 43.0 | 14620 | 0.5145 | 0.6301 |
0.369 | 44.0 | 14960 | 0.5153 | 0.6223 |
0.3722 | 45.0 | 15300 | 0.5289 | 0.6818 |
0.3685 | 46.0 | 15640 | 0.5203 | 0.6567 |
0.3685 | 47.0 | 15980 | 0.5210 | 0.6285 |
0.3688 | 48.0 | 16320 | 0.5113 | 0.6144 |
0.3661 | 49.0 | 16660 | 0.5097 | 0.5439 |
0.3657 | 50.0 | 17000 | 0.5166 | 0.6536 |
0.3657 | 51.0 | 17340 | 0.5208 | 0.6552 |
0.3656 | 52.0 | 17680 | 0.5249 | 0.6646 |
0.3643 | 53.0 | 18020 | 0.5056 | 0.5940 |
0.3643 | 54.0 | 18360 | 0.5122 | 0.6583 |
0.3611 | 55.0 | 18700 | 0.5247 | 0.6395 |
0.3629 | 56.0 | 19040 | 0.5301 | 0.6599 |
0.3629 | 57.0 | 19380 | 0.5284 | 0.6473 |
0.3597 | 58.0 | 19720 | 0.5316 | 0.6473 |
0.361 | 59.0 | 20060 | 0.5315 | 0.6552 |
0.361 | 60.0 | 20400 | 0.5424 | 0.6567 |
0.3587 | 61.0 | 20740 | 0.5338 | 0.6442 |
0.3557 | 62.0 | 21080 | 0.5283 | 0.6285 |
0.3557 | 63.0 | 21420 | 0.5287 | 0.6599 |
0.3556 | 64.0 | 21760 | 0.5307 | 0.6426 |
0.3578 | 65.0 | 22100 | 0.5326 | 0.6489 |
0.3578 | 66.0 | 22440 | 0.5207 | 0.5784 |
0.3504 | 67.0 | 22780 | 0.5271 | 0.6348 |
0.3588 | 68.0 | 23120 | 0.5338 | 0.6489 |
0.3588 | 69.0 | 23460 | 0.5386 | 0.6583 |
0.3553 | 70.0 | 23800 | 0.5308 | 0.6567 |
0.3511 | 71.0 | 24140 | 0.5325 | 0.6473 |
0.3511 | 72.0 | 24480 | 0.5403 | 0.6614 |
0.3522 | 73.0 | 24820 | 0.5319 | 0.6379 |
0.3534 | 74.0 | 25160 | 0.5332 | 0.6505 |
0.3495 | 75.0 | 25500 | 0.5343 | 0.6505 |
0.3495 | 76.0 | 25840 | 0.5312 | 0.6567 |
0.3535 | 77.0 | 26180 | 0.5356 | 0.6505 |
0.3491 | 78.0 | 26520 | 0.5342 | 0.6536 |
0.3491 | 79.0 | 26860 | 0.5327 | 0.6552 |
0.3518 | 80.0 | 27200 | 0.5325 | 0.6552 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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